docstr: Parameters
  ----------
  dataset: SFrame
      SFrame with data to extract features from
  feature: str
      Name of the column in `dataset` containing the features
docstr_tok: ["Parameters","--","--","--","--","--","dataset",":","SFrame","SFrame","with","data","to","extract","features","from","feature",":","str","Name","of","the","column","in","`","dataset","`","containing","the","features"]
code: def extract_features(self, dataset, feature):
      """
      Parameters
      ----------
      dataset: SFrame
          SFrame with data to extract features from
      feature: str
          Name of the column in `dataset` containing the features
      """
      pass
  
file_path: turicreate/src/python/turicreate/toolkits/_image_feature_extractor.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from ._pre_trained_models import _get_cache_dir
  from turicreate._deps.minimal_package import _minimal_package_import_check
  import turicreate.toolkits._tf_utils
label_desc: Use image node_id 2 for calling the ImageFeatureExtractor obj's underlying member method code with example usage: obj.extract_features(dataset, feature) without return types